{"id":"W4402070408","doi":"10.1016/j.rineng.2024.102793","title":"The influence of the climate, the materials of the walls, and the gas effects of double and triple-glazed windows in terms of energy evaluation and economic expenses","year":2024,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Efficient energy use; Energy consumption; Environmental science; Architectural engineering; Civil engineering; Computer science; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007413198,0.00008866099,0.0001616078,0.00004538505,0.00002765582,0.00002027477,0.0001416434,0.00004598559,3.650025e-7],"category_scores_gemma":[0.00009034367,0.00004054187,0.00002217464,0.0001264308,0.0000961767,0.00006937848,0.00007495844,0.00006799783,8.973855e-9],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002133003,"about_ca_system_score_gemma":0.00001077854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001475577,"about_ca_topic_score_gemma":0.00009849096,"domain_scores_codex":[0.9993255,0.00006057565,0.0003454218,0.00008547775,0.00008892173,0.00009405956],"domain_scores_gemma":[0.9992039,0.0004942308,0.00007369011,0.0002105206,0.00001074102,0.000006949567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008212694,0.00000264137,0.0002402214,0.0002354655,0.00002204823,9.373551e-8,0.0005703154,0.97109,0.02326948,0.003803922,0.000002238338,0.0006814706],"study_design_scores_gemma":[0.002415018,0.00002096917,0.02793899,0.001025444,0.00004315735,0.000005201272,0.00005214682,0.6921052,0.2758526,0.0003888565,0.00005862184,0.00009373786],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977701,0.001579305,0.00003781478,0.00005068097,0.0002210803,0.0002593193,0.000007580328,0.000009836996,0.00006424681],"genre_scores_gemma":[0.9983665,0.001536988,0.00002626312,0.000002241308,0.00001215009,0.00004000451,0.000001009038,0.00001108301,0.000003793766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2789848,"threshold_uncertainty_score":0.165325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003974259298253635,"score_gpt":0.1990830532849698,"score_spread":0.1951087939867162,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}